Why Security Validation Is Becoming Agentic

If you run security at any reasonably complex organization, your validation stack probably looks something like this: a BAS tool in one corner. A pentest engagement, or maybe an automated pentesting product, in another. A vulnerability scanner feeding an attack surface management platform somewhe...

Execution Is the New Attack Surface: Survivability-Aware Agentic Crypto Trading with OpenClaw-Style Local Executors

OpenClaw-style agent stacks turn language into privileged execution: LLM intents flow through tool interception, policy gates, and a local executor. In parallel, skill marketplaces such as skills.sh make capability acquisition as easy as installing skills and CLIs, creating a growing capability...

OSS-CRS: Liberating AIxCC Cyber Reasoning Systems for Real-World Open-Source Security

DARPA's AI Cyber Challenge AIxCC showed that cyber reasoning systems CRSs can go beyond vulnerability discovery to autonomously confirm and patch bugs: seven teams built such systems and open-sourced them after the competition. Yet all seven open-sourced CRSs remain largely unusable outside their...

Broken Access: On the Challenges of Screen Reader Assisted Two-Factor and Passwordless Authentication

In today's technology-driven world, web services have opened up new opportunities for blind and visually impaired people to interact independently. Securing interactions with these services is crucial; however, currently deployed authentication mainly concentrate on sighted users, overlooking the...

SemFuzz: A Semantics-Aware Fuzzing Framework for Network Protocol Implementations

Network protocols are the foundation of modern communication, yet their implementations often contain semantic vulnerabilities stemming from inadequate understanding of specification semantics. Existing gray-box and black-box testing approaches lack semantic modeling of protocols, making it...

On the Effectiveness of Mutational Grammar Fuzzing

Posted by Ivan Fratric Mutational grammar fuzzing is a fuzzing technique in which the fuzzer uses a predefined grammar that describes the structure of the samples. When a sample gets mutated, the mutations happen in such a way that any resulting samples still adhere to the grammar rules, thus the...

TraceGuard: Process-Guided Firewall against Reasoning Backdoors in Large Language Models

The deployment of Large Reasoning Models LRMs in high-stakes decision-making pipelines has introduced a novel and opaque attack surface: reasoning backdoors. In these attacks, the model's intermediate Chain-of-Thought CoT is manipulated to provide a linguistically plausible but logically fallacio...

AMDS: Attack-Aware Multi-Stage Defense System for Network Intrusion Detection with Two-Stage Adaptive Weight Learning

Machine learning based network intrusion detection systems are vulnerable to adversarial attacks that degrade classification performance under both gradient-based and distribution shift threat models. Existing defenses typically apply uniform detection strategies, which may not account for...

pwn-claude-plugin

pwn-claude-plugin Claude Code plugin for binary exploitation...

Moderate: Red Hat Security Advisory: OpenShift Container Platform 4.12.82 CNF vRAN extras topology aware lifecycle manager update

An update for topology-aware-lifecycle manager is available for Red Hat OpenShift Container Platform 4.12. Red Hat OpenShift Container Platform is Red Hat's cloud computing Kubernetes application platform solution designed for on-premise or private cloud deployments. This advisory contains the...

Routing-Aware Explanations for Mixture of Experts Graph Models in Malware Detection

Mixture-of-Experts MoE offers flexible graph reasoning by combining multiple views of a graph through a learned router. We investigate routing-aware explanations for MoE graph models in malware detection using control flow graphs CFGs. Our architecture builds diversity at two levels. At the node...

Webinar: How Modern SOC Teams Use AI and Context to Investigate Cloud Breaches Faster

Cloud attacks move fast — faster than most incident response teams. In data centers, investigations had time. Teams could collect disk images, review logs, and build timelines over days. In the cloud, infrastructure is short-lived. A compromised instance can disappear in minutes. Identities rotat...

Resource-Aware Deployment Optimization for Collaborative Intrusion Detection in Layered Networks

Collaborative Intrusion Detection Systems CIDS are increasingly adopted to counter cyberattacks, as their collaborative nature enables them to adapt to diverse scenarios across heterogeneous environments. As distributed critical infrastructure operates in rapidly evolving environments, such as...

Optimizing Agent Planning for Security and Autonomy

Indirect prompt injection attacks threaten AI agents that execute consequential actions, motivating deterministic system-level defenses. Such defenses can provably block unsafe actions by enforcing confidentiality and integrity policies, but currently appear costly: they reduce task completion...

KRONE: Hierarchical and Modular Log Anomaly Detection

Log anomaly detection is crucial for uncovering system failures and security risks. Although logs originate from nested component executions with clear boundaries, this structure is lost when they are stored as flat sequences. As a result, state-of-the-art methods risk missing true dependencies...

RedSage: A Cybersecurity Generalist LLM

Cybersecurity operations demand assistant LLMs that support diverse workflows without exposing sensitive data. Existing solutions either rely on proprietary APIs with privacy risks or on open models lacking domain adaptation. To bridge this gap, we curate 11.8B tokens of cybersecurity-focused...

AI-Powered Forensics, at Cloud Speed

Reviewing Wiz’s approach to forensics in the cloud era, and announcing the public preview of AI-powered, context-aware forensics capabilities...

Astra Linux – Vulnerability in Linux 6.1

In the Linux kernel, the following vulnerability has been resolved: btrfs: Adjust the subpage bit start based on the sector size. When running machines with a 64k page size and a 16k node size, we began to encounter tree log corruption in production. This occurred because we sometimes did not wri...

CVE-2025-64097

NervesHub is a web service that allows users to manage over-the-air OTA firmware updates of devices in the field. A vulnerability present starting in version 1.0.0 and prior to version 2.3.0 allowed attackers to brute-force user API tokens due to the predictable format of previously issued tokens...

CVE-2025-64097

NervesHub (OTA firmware management service) is affected by CVE-2025-64097 due to tokens used for user/API authentication having a predictable format from 1.0.0 up to 2.3.0. The root cause is insufficient entropy in tokens, allowing brute-forcing to gain unauthorized access to user accounts or API...